Metamaterials
lenovo
2023-05-23
Papers Main Topic 1003 Totimorphic assemblies from neutrally stable units The Extreme Mechanics of Viscoelastic Metamaterials Responsive materials architected in space and time Additively manufacturable micro-mechanical logic gates Homogenization Theory of Space-Time Metamaterials Micro-Scale Auxetic Hierarchical Mechanical Metamaterials for Shape Morphing Machine Learning for Advanced Additive Manufacturing Generative machine learning algorithm for lattice structures with superior mechanical properties 3D printable strain rate-dependent machine-matter Knowledge extraction and transfer in data-driven fracture mechanics Inverse Design of Mechanical Metamaterials That Undergo Buckling Pattern transformation induced waisted post-buckling of perforated cylindrical shells Soft Robotics in Healthcare: Challenges in Design and Control Tunable thermally bistable multi-material structure Inverse design strategies for buckling-guided assembly of 3D surfaces based on topology optimization Controlling Malleability of Metamaterials through Programmable Memory Design of mechanical metamaterial for energy absorption using a beam with a variable cross-section Triclinic metamaterials by tristable origami with reprogrammable frustration Inverse machine learning framework for optimizing lightweight metamaterials Magnetorheological Fluid-Based Flow Control for Soft Robots Video Physics informs machine learning for crack-free printing of metals Crack free metal printing using physics informed machine learning Triclinic Metamaterials by Tristable Origami with Reprogrammable Frustration Rational design of piezoelectric metamaterials with tailored electro-momentum coupling In-plane elasticity of beetle elytra inspired sandwich cores Bistable and Multistable Actuators for Soft Robots: Structures, Materials, and Functionalities A mechanical metamaterial with reprogrammable logical functions A fluidic relaxation oscillator for reprogrammable sequential actuation in soft robots Growth rules for irregular architected materials with programmable properties Predicting deformation mechanisms in architected metamaterials using GNN Sequential metamaterials with alternating Poisson’s ratios Machine learning-based inverse design of auxetic metamaterial with zero Poisson's ratio Analysis and Optimisation of Periodic Piezoelectric Materials Inverse Design of Mechanical Metamaterials with Target Nonlinear Response via a Neural Accelerated Evolution Strategy Inverse Design of Inflatable Soft Membranes Through Machine Learning The shell microstructure of the pteropod Creseis acicula is composed of nested arrays of S-shaped aragonite fibers: A unique biological material Machine Learning-Evolutionary Algorithm Enabled Design for 4D-Printed Active Composite Structures Combining advanced 3D printing technologies with origami principles: A new paradigm for the design of functional, durable, and scalable springs Conformal elasticity of mechanism-based metamaterials Anisotropic compression behaviors of bio-inspired modified body-centered cubic lattices validated by additive manufacturing Multi-objective structural optimisation of piezoelectric materials Multi-material topology optimization and additive manufacturing for metamaterials incorporating double negative indexes of Poisson’s ratio and thermal expansion Pattern transformation induced waisted post-buckling of perforated cylindrical shells Machine learning assisted investigation of defect influence on the mechanical properties of additively manufactured architected materials Deep Learning-Accelerated Designs of Tunable Magneto-Mechanical Metamaterials ML+Design+Manufacture Programmable/Tunable Design magnetorheological (MR)fluid valve control the pressure pressure within a continuous-flowfluidic actuator is introduced. ML optimizing actuation methods such as shape-memoryalloys, [7,8]dielectric elastomers, [9]ionicpolymers,[10,11]and hydrogel- based actua-tors,[1 Research Method Refer [18]Soft Poly-Limbs: Toward a New Paradigm of Mobile Manipulation for Daily Living Tasks Softrobo+Motion control+dielectric elastomer actuators Motion Control of a Soft Circular Crawling Robot via Iterative Learning Control∗ As an actuation technology of soft robots, dielectric elastomer actuators (DEAs) exhibit many fantastic attributes such as large strain and high energy density. Ferroelectricity+AM A 3D-printed molecular ferroelectric metamaterial Ferro Ferroelectricity/https://www.britannica.com/science/ferroelectricity What is the difference between dielectric and ferroelectric? https://www.researchgate.net/post/What_are_the_differences_between_insulator_dielectrics_and_paraelectrics ferroelectric and piezoelectric(direct piezoelectric effect/inverse piezoelectric effect)? Piezoelectricity is a property of certain dielectric materials to physically deform in the presence of an electric field, or conversely, to produce an electrical charge when mechanically deformed. ferroelectricity, property of certain nonconducting crystals, or dielectrics, that exhibit spontaneous electric polarization (separation of the centre of positive and negative electric charge, making one side of the crystal positive and the opposite side negative) that can be reversed in direction by the application of an appropriate electric field. https://www.nrel.gov/materials-science/piezoelectric-ferroelectric-materials.html Optimization of piezoelectric metamaterials # Multi-objective structural optimisation of piezoelectric materials Piezoelectric Materials Ferro Intro AM Kirigami auxetic structure for high efficiency power harvesting in self-powered and wireless structural health monitoring systems A Highly Multi-Stable Meta-Structure via Anisotropy for Large and Reversible Shape Transformation Reprogrammable Mechanical Metamaterials with Heterogeneous Assembly of Soft Shell- Based Voxels 1215 I strongly recommend all of you to watch this great presentation for designing lightweight structures https://www.youtube.com/watch?v=xh6UNYjjjUA Dear All,   This is a very great presentation that I strongly recommend all of you that are learning about the field of architected materials listen  twice : https://www.youtube.com/watch?v=TV6352ss2EY   Regards, Learning the nonlinear dynamics of mechanical metamaterials with graph networks Phonon Engineering of Micro- and Nanophononic Crystals and Acoustic Metamaterials: A Review Tailoring Structure-Borne Sound through Bandgap Engineering in Phononic Crystals and Metamaterials: A Comprehensive Review Analysis and optimisation of periodic piezoelectric materials the unique nonlinear dynamics of certain types of soft mechanical metamaterials. However, capturing the nonlinear dynamic response of these materials especially those with complex geometries, can be a challenge due to the strong nonlinearity and large computational cost. An efficient and reliable framework to predict the overall response of the metamaterials based on the geometry of their building blocks is not only key to understanding the unique behavior of metamaterials, but also vital to the rational design of such materials. metamaterial graph network lattice-like metamaterial structure. The Active mechanical metamaterial with embedded piezoelectric actuation Harnessing Interpretable Machine Learning for Holistic Inverse Design of Origami A Review on Origami Simulations: From Kinematics, To Mechanics, Toward Multiphysics Engineering by Cuts: How Kirigami Principle Enables Unique Mechanical Properties and Functionalities A book Compliant Mechanisms Rigidly Foldable Origami Twists Inverse design of shell-based mechanical metamaterial with customized loading curves based on machine learning and genetic algorithm Programming Multistable Metamaterials to Discover Latent Functionalities Shape-morphing structures based on perforated kirigami Inverse design of shell-based mechanical metamaterial with customized loading curves based on machine learning and genetic algorithm Mechanics and design of topologically interlocked irregular quadrilateral tessellations Extraordinary Disordered Hyperuniform Multifunctional Composites Generative design, manufacturing, and molecular modeling of 3D architected materials based on natural language input A Highly Multi-Stable Meta-Structure via Anisotropy for Large and Reversible Shape Transformation A graded metamaterial for broadband and high-capability piezoelectric energy harvesting 3D Auxetic Metamaterials with Elastically-Stable Continuous Phase Transition Dispersion relation prediction and structure inverse design of elastic metamaterials via deep learning Magneto-Thermomechanically Reprogrammable Mechanical Metamaterials 0118 Electromagnetic Reconfiguration Using Stretchable Mechanical Metamaterials To enable the required conductor deformation in such applications, a variety of approaches have been proposed.[18] Wearable electronics rely predominantly on flexible fabrics coated with thin conductive films[1, 3, 19] or soft polymeric membranes with embedded conductive particles.[20-22] While achieving large dimensional changes of the conductive surface (as high as 1000%[22]), this approach sacrifices mechanical properties and cannot be scaled to structural applications. In another technique, electromagnetic metamaterials composed of periodic arrays of radiating elements placed on the rigid facets of foldable origami and kirigami[23, 24] or substrates with embedded compliant mechanisms[25-27] enable reconfiguration of communications antennas, filters, and even optical properties. The metamaterials in these examples provide mechanical support for conductors that solely undergo rigid body motion. At a larger scale, antenna reconfiguration for communications and radar applications relies on rigid engineering mechanisms,[5, 11-13, 28] smart materials,[8, 10] or origami techniques.[14, 15] Once again, a trade- off between conductor flexibility, mechanical performance, and the physical scale of the system is observed. Consequently, the range of applicability of the various techniques is limited. beyond rigid body motion and is scalable compared to flexible conductors integrated into elastomeric substrates. Snap-fit mechanical metamaterials The snap-fit mechanical metamaterials (SMMs) that can be used for repeated energy absorption is proposed. 子主题 Magneto-Thermomechanically Reprogrammable Mechanical Metamaterials Role of topology in dictating the fracture toughness of mechanical metamaterials Slow kinks in dissipative kirigami Complex Ordered Patterns in Mechanical Instability Induced Geometrically Frustrated Triangular Cellular Structures Dear Benyamin, Sobhan, Jiaoran, Haoyu, and Youjian, Please read the following article in detail and be sure you can implement similar study for your research: Topological invariant and anomalous edge modes of strongly nonlinear systems Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning Elastic anisotropy and wave propagation properties of multifunctional hollow sphere foams 0215 Machine learning assisted metamaterial‑based reconfgurable antenna for low‑cost portable electronic devices Self 3D Programmable Metamaterials Based on Reconfigurable Mechanism Modules Antenna inverse design/reconfigrable 3D Printed Fractal Metamaterials with Tunable Mechanical Properties and Shape Reconfiguration Electromagnetic Reconfiguration Using Stretchable Mechanical Metamaterials A few paper on cellular materials to read Impact Resistance of 3D Cellular Structures for Protective Clothing Multiscale Optimization of 3D-Printed Beam-Based Lattice Structures through Elastically Tailored Unit Cells Anisotropic Metallic Microlattice Structures for Underwater Operations 3D Printed Graphene-Based Metamaterials: Guesting Multi- Functionality in One Gain Advanced functional materials with fascinating properties and extended structural design have greatly broadened their applications. Metamaterials, exhibiting unprecedented physical properties (mechanical, electromagnetic, acoustic, etc.), are considered frontiers of physics, material science, and engineering. With the emerging 3D printing technology, the manufacturing of metamaterials becomes much more convenient. Graphene, due to its superior properties such as large surface area, superior electrical/thermal conductivity, and outstanding mechanical properties, shows promising applications to add multi-functionality into existing metamaterials for various applications. In this review, the aim is to outline the latest developments and applications of 3D printed graphene-based metamaterials. The structure design of different types of metamaterials and the fabrication strategies for 3D printed graphene-based materials are first reviewed. Then the representative explorations of 3D printed graphene-based metamaterials and multi-functionality that can be introduced with such a combination are further discussed. Subsequently, challenges and opportunities are provided, seeking to point out future directions of 3D printed graphene-based metamaterials. Review The abstract of the paper "3D Printed Graphene-Based Metamaterials: Guesting Multi-Functionality in One Gain" suggests that the paper explores the creation and properties of a new type of material, specifically a metamaterial, which is made from graphene using 3D printing technology. Metamaterials are artificially engineered materials that can exhibit unusual physical properties not found in naturally occurring materials. The paper's focus on using graphene as a building block for these metamaterials is significant because graphene is known for its unique electrical, thermal, and mechanical properties. The phrase "guesting multi-functionality in one gain" in the title refers to the idea of incorporating multiple functionalities within the metamaterial structure. The authors of the paper suggest that this can be achieved by introducing guest materials within the graphene-based metamaterial structure. Overall, the abstract suggests that the paper presents an innovative and potentially important approach to designing and manufacturing advanced materials with unique properties. By using 3D printing and graphene, the researchers aim to create metamaterials that are capable of multiple functions, which could have applications in various fields, such as electronics, energy storage, and medical devices. ferroelectric metamaterials Tunable ferroelectric auxetic metamaterials for guiding elastic waves in three-dimensions Metamaterials are artificial material systems that can be designed for extraordinary static and dynamic properties, such as negative effective Poisson’s ratio, mass density, or Young’s modulus [1], [2]. Metamaterials have been proposed for numerous applications in controlling sound, vibrations, and heat. Such applications range from wave guiding, cloaking, thermal diodes, energy transfer optimization to acoustic rectifiers [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17]. Traditionally, metamaterials designs are fixed, i.e., once fabricated, their effective properties cannot be changed. However, a growing trend in metamaterials’ research is utilizing dynamically tunable designs, thus opening the door for more potential applications and functional integration in devices. Tunability can be achieved through a variety of methods including mechanical (e.g., by considering application of external loads) [18], [19], [20], [21], thermal (e.g., through shape memory effects [22]), electrical (e.g., from nano [23] to macro-scale systems [24], [25], [26]), or magnetic [27], [28], [29] stimuli. While some studies of tunable piezoelectric metamaterials have been reported in the literature [30], [31], [32], [33], [34], [35], harnessing the effects of ferroelectric poling to tune metamaterials properties remains relatively unexplored. Here, we discuss the interplay between different tuning avenues in a three-dimensional metamaterial, namely poling effects and mechanical deformations. 0310 Programmable and multistable metamaterials made of precisely tailored bistable cells 子主题 This study proposes a systematic inverse design framework for constructing multistable mechanical metamaterials with programmable gradients. Herein, we designed the tailored bistable cells with precisely controlled maximum instability forces through the topology optimization approach. Then, the designed bistable structures were programmed to construct the multistable mechanical metamaterials with different target gradient snapping sequences and deformation models. Consequently, the simulation and experimental results showed the feasibility of the design method, which successfully produced two- and three-dimensional mechanical metamaterial structures with different functions. Finally, we verified the expected deformation sequences and multistable behaviors of mechanical metamaterials by testing the designed specimens prepared via additive manufacturing. Overall, our findings show that the proposed design strategy offers a new paradigm for developing precisely tailored and programmable mechanical metamaterials. Broadband Solar Metamaterial Absorbers Empowered by Transformer-Based Deep Learning The research of metamaterial shows great potential in the field of solar energy harvesting. In the past decade, the design of broadband solar metamaterial absorber (SMA) has attracted a surge of interest. The conventional design typically requires brute-force optimizations with a huge sampling space of structure parameters. Very recently, deep learning (DL) has provided a promising way in metamaterial design, but its application on SMA development is barely reported due to the complicated features of broadband spectrum. Here, this work develops the DL model based on metamaterial spectrum transformer (MST) for the powerful design of high- performance SMAs. The MST divides the optical spectrum of metamaterial into N patches, which overcomes the severe problem of overfitting in traditional DL and boosts the learning capability significantly. A flexible design tool based on free customer definition is developed to facilitate the real-time on-demand design of metamaterials with various optical functions. The scheme is applied to the design and fabrication of SMAs with graded-refractive-index nanostructures. They demonstrate the high average absorptance of 94% in a broad solar spectrum and exhibit exceptional advantages over many state-of-the-art counterparts. The outdoor testing implies the high-efficiency energy collection of about 1061 kW h m−2 from solar radiation annually. This work paves a way for the rapid smart design of SMA, and will also provide a real-time developing tool for many other metamaterials and metadevices. Multi Jet Fusion printed lattice materials: characterization and prediction of mechanical performance Multi Jet Fusion (MJF) is a powder-bed fusion (PBF) additive manufacturing process that enables high-resolution, rapid fabrication of large-scale polymer parts. In particular, the MJF process enables direct printing of structures without the need for support material, enabling complex geometries such as lattices and scaffolds to be manufactured with minimal post-processing. The lattice structure is a highly tunable geometry that can form the stiff, strong backbone of larger-scale designs, facilitating time and material efficiency in the printing process compared to a solid body. While the benefits of lattice-based designs produced with powder-bed fusion processes are clear, there currently exist few studies that empirically characterize the mechanical performance of lattices printed using MJF. In this work, we treat each lattice as an assembly of components (beams and nodes), with each component defined by its nominal size and orientation. To study the effect of changing these parameters on material properties, lattice unit cells of structural interest are modeled with their beam diameters, node sizes, and unit cell geometries varied. Specimens are printed using polyamide (PA)-12 powder, then mechanically tested to determine strength and stiffness. The results are used to determine empirical fitting parameters to the Gibson–Ashby scaling model of lattices, previously unapplied to MJF-printed structures. To further develop a model of the structure's geometry-dependent behavior, the varying failure modes of printed lattices are also characterized. The results of this work provide a foundation for the design optimization of lattices printed using Multi Jet Fusion, in turn developing a fundamental model for a variety of large-scale printable structures. Data-driven design of biometric composite metamaterials with extremely recoverable and ultrahigh specific energy absorption Abstract The existing mechanical metamaterials are often designed with periodic inter-connected structs with simple cylindrical or uniform hierarchical geometries, which relies on their parent materials to either have a good mechanical performance with low recoverability, or significantly sacrifices their mechanical performances to be highly recoverable. Biological fibrous structures are often evolved with a composition of different fibrous morphologies to possess a desired balance of mechanical performances and recovery. In this study, we developed digital design algorithms to generate the next-generation metamaterials with composite bio-inspired twisting fibrotic structs that are rubber-like recoverable without significant scarification of their mechanical performances. A machine learning predictive model is trained based on experimental data to reveal the resulted specific energy absorption (SEA) and SEA recoveries for such metamaterials with complicated fiber-composition mechanisms. To further understand the fundamental structural recovery mechanisms of the natural fibers, we derived the elastoplastic theories of the twisting fibrotic structs, and revealed that such structs possesses a rubber-like fracture strain with significantly improved specific energy absorption. Our studies combined the structural recovery mechanisms of the composite natural fibrous structures and mechanical metamaterials, liberates the design potential of materials with engineerable optimal balances of their mechanical performances and recoverability. 子主题 ML ML-aided RGM deep search algorithm is developed (Fig. 17). Within each deep search cycle, 1000 random percentages are generated, and the ML prediction model Knots are not for naught: Design, properties, and topology of hierarchical intertwined microarchitected materials Lightweight and tough engineered materials are often designed with three-dimensional hierarchy and interconnected structural members whose junctions are detrimental to their performance because they serve as stress concentrations for damage accumulation and lower mechanical resilience. We introduce a previously unexplored class of architected materials, whose components are interwoven and contain no junctions, and incorporate micro-knots as building blocks within these hierarchical networks. Tensile experiments, which show close quantitative agreements with an analytical model for overhand knots, reveal that knot topology allows a new regime of deformation capable of shape retention, leading to a ~92% increase in absorbed energy and an up to ~107% increase in failure strain compared to woven structures, along with an up to ~11% increase in specific energy density compared to topologically similar monolithic lattices. Our exploration unlocks knotting and frictional contact to create highly extensible low-density materials with tunable shape reconfiguration and energy absorption capabilities. Ultralight and ultra-stiff nano- cardboard panels: Mechanical analysis, characterization, and design principles We introduce a class of ultra-light and ultra-stiff sandwich panels designed for use in photophoretic levitation applications and investigate their mechanical behavior using both computational analyses and micro-mechanical testing. The sandwich panels consist of two face sheets connected with a core that consists of hollow cylindrical ligaments arranged in a honeycomb-based hexagonal pattern. Computational modeling shows that the panels have superior bending stiffness and buckling resistance compared to similar panels with a basketweave core, and that their behavior is well described by Uflyand-Mindlin plate theory. By optimizing the ratio of the face sheet thickness to the ligament wall thickness, panels maybe obtained that have a bending stiffness that is more than five orders of magnitude larger than that of a solid plate with the same area density. Using a scalable microfabrication process, we demonstrate that panels as large as 3 × 3 cm2 with a volumetric density of 20 kg/m3 and corresponding area density of 2 g/m2 can be made in a few hours. Micro-mechanical testing of the panels is performed by deflecting microfabricated cantilevered panels using a nanoindenter. The experimentally measured bending stiffness of the cantilevered panels is in very good agreement with the computational results, demonstrating exquisite control over the dimensions, form, and properties of the microfabricated panels. Conformal Volumetric Grayscale Metamaterials Abstract Conformal artificial electromagnetic media that feature tailorable responses as a function of incidence wavelength and angle represent universal components for optical engineering. Conformal grayscale metamaterials are introduced as a new class of volumetric electromagnetic media capable of supporting highly multiplexed responses and arbitrary, curvilinear form factors. Subwavelength-scale voxels based on irregular shapes are designed to accommodate a continuum of dielectric values, enabling the freeform design process to reliably converge to exceptionally high figures of merit (FOMs) for a given multi-objective design problem. Through additive manufacturing of ceramic–polymer composites, microwave metamaterials, designed for the radio-frequency range of 8–12 GHz, are experimentally fabricated and devices with extreme dispersion profiles, an airfoil-shaped beam-steering device, and a broadband, broad-angle conformal carpet cloak, are demonstrated. It is anticipated that conformal volumetric metamaterials will lead to new classes of compact and multifunctional imaging, sensing, and communications systems. 24 December 2022 Mechanical Properties of Cochiral and Contrachiral Mechanical Metamaterials Under Different Temperatures Abstract Cochiral and contrachiral mechanical metamaterials are designed by introducing chiral cells with different handedness to the center of the basic chiral cell. Both single-material designs and multimaterial designs are explored. The designs are fabricated via a multimaterial 3D printer, and uniaxial tension experiments are performed in a thermal chamber at two different temperatures. For single-material designs, either cochiral or contrachiral ones, the effective Poisson's ratio is independent of temperature, while for their multimaterial counterparts, the effective Poisson's ratio can change with temperature. It is found that the handedness of the core chiral cell significantly influences the rotation efficiency and the effective Poisson's ratio of the design, although it only slightly influences the effective stiffness. Cochiral designs have higher rotation efficiency than the contrachiral designs and therefore are more auxetic. While for the contrachiral designs, the effective Poisson's ratio can be tuned in a wider range and the overall fracture strain is higher. 0412 Auxetic Kirigami Metamaterials upon Large Stretching Mechanical properties of the composite lattice structure with variable density and multi- configuration Additively Manufactured Mechanical Metamaterial-Based Pressure Sensor with Tunable Sensing Properties for Stance and Motion Analysis Enhancing the Mechanical Properties of Auxetic Metamaterials by Incorporating Nonrectangular Cross Sections into Their Component Rods: A Finite Element Analysis Thermomechanical buckling of tubularly chiral thermo-metamaterials This study aims to investigate the buckling response under thermal and mechanical excitations for the tubularly chiral thermo-metamaterials (TCTM). The proposed TCTM are designed using the material of thermoplastic polymers into the structure of chiral tubes. To characterize the temperature-responsive of the material, a general theoretical model that can predict the temperature-dependent Young’s modulus and yield strength is utilized. The Young’s modulus and Poisson’s ratio of the chiral tubes are theoretically derived to indicate the structural properties. The superposition method is applied to integrate the material and structural properties to model the equivalent material properties of the TCTM. The thermomechanical buckling response of the TCTM is theoretically analyzed using the equivalent material properties. The presented theoretical models are validated by comparing with the numerical simulations and existed researches, and the satisfactory consistencies are observed. Parametric studies are conducted to investigate the controllability of the Young’s modulus, Poisson’s ratio and buckling performance of the TCTM. The reported TCTM provide an effective approach to obtain highly maneuverable, thermomechanical response, which can be used to design advanced thermomechanical devices such as temperature warning The shell microstructure of the pteropod Creseis acicula is composed of nested arrays of S-shaped aragonite fibers: A unique biological material Soft Adaptive Mechanical Metamaterials 5.1 Twisting for soft intelligent autonomous robot in unstructured environments 子主题 Environment-responsive soft robots constructed from twisted LCE ribbons with a stra Dragonfly-Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams 5.18 Insect-scale jumping robots enabled by a dynamic buckling cascade A New Phenomenological Model for the Crushing Failure Mechanism Lattice Structures